DevOps Engineer 4- 4P/421

4P Consulting Inc.; Atlanta (GA); Hybrid; USD 90,000 - 130,000; Full time

Job summary

A technology consulting firm is looking for an experienced DevOps Engineer (Level 4) to design and maintain cloud-based infrastructure and CI/CD pipelines. The role requires strong expertise in Azure environments, automation scripting, and IaC tools. Ideal candidates will demonstrate problem-solving skills and experience collaborating within cross-functional teams. This position offers a 3-year contract with a hybrid work schedule in Atlanta, GA.

Qualifications

• Proven experience as a DevOps Engineer or in a similar role supporting cloud-based web applications.
• Strong expertise with Microsoft Azure (preferred) or other cloud platforms (AWS/GCP).
• Excellent problem-solving, analytical, and communication skills.

Responsibilities

• Design, implement, and maintain infrastructure as code (IaC) using Azure Resource Manager, Bicep, or Terraform.
• Automate deployment, monitoring, and scaling of cloud resources using Azure CLI, PowerShell, and Python scripts.
• Build and maintain CI/CD pipelines to support ML models, data workflows, and web applications.

Skills

Azure Resource Manager (ARM)

Bicep

Terraform

Azure CLI

PowerShell

Python

Docker

Kubernetes

CI/CD pipeline design

Git/GitHub Actions

Education

Bachelor’s degree in Computer Science, Information Technology, or related field

Tools

Azure DevOps

Azure Monitor

Log Analytics

Application Insights

Job description

DevOps Engineer 4

Contract: 3 Years ( Only W-2 Candidates No C2C)

Location: Atlanta, GA ( Hybrid)
Client: Southern Company

Position Overview

We are seeking an experienced and highly skilled DevOps Engineer (Level 4) to join our team.
This role focuses on designing, deploying, and maintaining cloud-based infrastructure and CI/CD pipelines to support machine learning, data, and web application workflows.
The ideal candidate will have strong hands-on experience with Azure environments, automation scripting, and infrastructure-as-code tools such as ARM, Bicep, or Terraform.

The position requires excellent technical knowledge, problem-solving abilities, and the ability to collaborate effectively across cross-functional teams including software, data, and operations.

Key Responsibilities

• Design, implement, and maintain infrastructure as code (IaC) using Azure Resource Manager (ARM), Bicep, or Terraform.

• Automate deployment, monitoring, and scaling of cloud resources using Azure CLI, PowerShell, and Python scripts.

• Build and maintain CI/CD pipelines to support ML models, data workflows, and web applications.

• Manage and optimize containerized applications using Docker and Kubernetes.

• Ensure observability and performance monitoring using Azure Monitor, Log Analytics, and Application Insights.

• Collaborate with development, security, and infrastructure teams to ensure reliable, scalable, and secure deployments.

• Support incident response, troubleshooting, and root cause analysis for production systems.

• Implement and enforce DevOps best practices, including version control, release management, and configuration automation.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.

• Proven experience as a DevOps Engineer or in a similar role supporting cloud-based web applications.

• Strong expertise with Microsoft Azure (preferred) or other cloud platforms (AWS/GCP).

• Proficiency in scripting languages such as Python and PowerShell.

• Experience with automation and configuration management tools.

• Working knowledge of containerization technologies (e.g., Docker, Kubernetes).

• Familiarity with CI/CD tools and version control systems (e.g., Git, GitHub Actions, Azure DevOps).

• Solid understanding of networking, security, and performance optimization principles.

• Excellent problem-solving, analytical, and communication skills.

Skills to Emphasize

• Azure Resource Manager (ARM), Bicep, or Terraform for IaC.

• Azure CLI, PowerShell, Python for scripting deployments.

• CI/CD pipeline design for ML, data, and application workflows.

• Azure Monitor, Log Analytics, Application Insights for observability.